Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

android app token to string issue

Open
#484 4 comments 0 reactions 0 assignees View on GitHub

Maintainers usually reply within 1 day

Nobody has claimed this yet.

Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
android, python

Research direction

Start in the Android genai.demo.MainActivity token-generation and logging path, then compare its decoding of tokens [238, 136, 152] with the phi-3.5 tokenizer output in Python. Done means the Android output includes 안녕하세요! rather than 안하세요!.

Written by the indexing model from the issue text.

Description

bug

Hello. I am trying to run phi-3.5 ONNX on Android. I'm reaching out because I'm not sure how to resolve the issue related to token to string conversion. This occurs when I instruct it to output in a different language, and I confirm through the logs that the output is not being generated.

2024-10-23 17:06:06.369 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 31734: 안
2024-10-23 17:06:06.369 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Time taken to generate token: 1.32 seconds
2024-10-23 17:06:06.433 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 238: 
2024-10-23 17:06:06.433 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Time taken to generate token: 0.064 seconds
2024-10-23 17:06:06.495 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 136: 
2024-10-23 17:06:06.495 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Time taken to generate token: 0.062 seconds
2024-10-23 17:06:06.556 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 152: 
2024-10-23 17:06:06.556 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Time taken to generate token: 0.061 seconds
2024-10-23 17:06:06.618 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 30944: 하
2024-10-23 17:06:06.618 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Time taken to generate token: 0.062 seconds
2024-10-23 17:06:06.679 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 31578: 세
2024-10-23 17:06:06.679 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Time taken to generate token: 0.061 seconds
2024-10-23 17:06:06.682 29366-29366 time.genai.demo         ai.onnxruntime.genai.demo            I  Waiting for a blocking GC NativeAlloc
2024-10-23 17:06:06.692 29366-29366 time.genai.demo         ai.onnxruntime.genai.demo            I  WaitForGcToComplete blocked NativeAlloc on NativeAlloc for 10.871ms
2024-10-23 17:06:06.695 29366-29378 InputTransport          ai.onnxruntime.genai.demo            D  Input channel destroyed: 'ClientS', fd=135
2024-10-23 17:06:06.759 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 31527: 요
2024-10-23 17:06:06.759 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Time taken to generate token: 0.08 seconds
2024-10-23 17:06:06.820 29366-29512 genai.demo.MainActivity ai.onnxruntime.genai.demo            I  Generated token: 29991: !

When I execute the phi 3.5 tokenizer in Python, the output is 안녕하세요!, but the android output is 안하세요!.
I want to decode three tokens([238, 136, 152]) to obtain the correct results. I would appreciate any guidance on how to achieve this.
Thank you.

Dominant language
C++
Stars
1.7k
Forks
414
Avg merge
15h 1m
Merged PRs (30d)
7

Getting set up

We have not checked this project's setup files yet. Start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from microsoft/onnxruntime-inference-examples

All issues in microsoft/onnxruntime-inference-examples

Similar issues

More C++ issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.